Basic Machine Learning algorithms from scratch (numpy)

Used XGBoost Gradient Boosting Decision Tree Supervised ML Algorithm

Class on Introduction to Machine Learning- CS M146

"Simulations for the paper 'A Review Article On Gradient Descent Optimization Algorithms' by Sebastian Roeder"

A collection of projects introducing neural networks and data analysis concepts. From search and genetic algorithms to autoencoders and VAEs.

Explore a broad range of machine learning algorithms, including ML, RF, SVM, LR, NB, PCA, LogReg, DT, KMeans, SVMC, GD, HClust, DBSCAN, ICA, KNN, and more, within this repository. Gain practical insights and apply these diverse ML concepts effectively.

An automatic differentiation library inspired by micrograd and extend some functionalities

Implementation ML algorithem in Numpy with derivation

This repository contains implementations for various mathematical problems.

🐚 Abalone Age Prediction: Dive into Data, Surf on Insights! 📊 Unleash the power of predictive analytics on abalone age estimation! From meticulous data exploration to a showdown of optimization methods, this repo is your gateway to accurate age predictions using physical measurements using Pysaprk. 🌊🔮

Official Implementation of "Stochastic Gradient Methods with Preconditioned Updates".

Instagram Fake account detection ML model using SciKit Learn

1st/3 assignment of the "Machine Learning (ML) - Patterns Recognition" NKUA course (Spring Semester 2023). Basics of ML and implementation of the Gradient Descent algorithm.

Building gradient descent machine learning algorithm from scratch 2D and 3D

A simple perceptron based artificial neural network using python and numpy package only.

implementation of some classification algorithms in c and c++

Ball, Obstacle, and Target Simulation

MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20

PCA For Dimension Reduction And Visualization, Temperature-Yield Prediction Via Linear Regression, And Linear Fit Optimization Using Gradient Descent.